Global In-memory Computing Market 2016-2020

SKU ID :TNV-10293187 | Published Date: 24-Aug-2016 | No. of pages: 55
PART 01: Executive summary • Highlights PART 02: Scope of the report • Market overview • Common currency conversion rates • Top-vendor offerings PART 03: Market research methodology • Research methodology • Economic indicators PART 04: Introduction • Key market highlights PART 05: Market landscape • Market overview • Market size and forecast • Five forces analysis PART 06: Market segmentation by product PART 07: Geographical segmentation • In-memory computing market in Americas • In-memory computing market in EMEA • In-memory computing market in APAC PART 08: Summary of key figures PART 09: Market drivers • Rapid data explosion in networks • Demand for effective and easy data access • Exponential growth in amount of data stored and used • Need to improve market responsiveness PART 10: Impact of drivers PART 11: Market challenges • Data security and privacy issues • Lack of awareness about in-memory computing technology • Lack of standards and technical limitations of RAM • High cost of implementation and introduction of new memory technologies PART 12: Impact of drivers and challenges PART 13: Market trends • Increased demand from SMEs • Increase in demand from BFSI sector • Growing need for embedded analytics and SaaS-based in-memory computing • High demand for cloud-computing services PART 14: Buying criteria PART 15: Vendor landscape • Competitive scenario • Vendor analysis 2015 • Other prominent vendors PART 16: Analyst insight PART 17: Appendix • List of abbreviations PART 18: Explore Technavio List of Exhibits Exhibit 01: Major countries covered Exhibit 02: Standard currency conversion rates Exhibit 03: Product offerings Exhibit 04: Global in-memory computing market traction by geography Exhibit 05: Global in-memory computing market overview Exhibit 06: In-memory computing technology Exhibit 07: Comparison between traditional and in-memory computing workflow Exhibit 08: Evolution of DRAMs: 2006-2020 Exhibit 09: Characteristics of big data Exhibit 10: Global in-memory computing market 2015-2020 ($ billions) Exhibit 11: Five forces analysis Exhibit 12: Global in-memory computing market by product Exhibit 13: Global in-memory computing market by geography 2015 Exhibit 14: Global in-memory computing market by geography 2015-2020 Exhibit 15: Global in-memory computing market by geography 2015-2020 ($ billions) Exhibit 16: In-memory computing market in Americas 2015-2020 ($ billions) Exhibit 17: In-memory computing market in EMEA 2015-2020 ($ billions) Exhibit 18: In-memory computing market in APAC 2015-2020 ($ billions) Exhibit 19: Global in-memory computing market: CAGR comparison by geography 2015-2020 Exhibit 20: Global in-memory computing market key figures Exhibit 21: Global in-memory computing market growth comparison by geography 2016-2020 Exhibit 22: Global statistics of mobile devices and mobile data traffic Exhibit 23: Global digital content 2015: A snapshot Exhibit 24: Impact of drivers Exhibit 25: Impact of drivers and challenges Exhibit 26: Vendor selection parameters Exhibit 27: Global in-memory computing market by vendor ranking 2015 Exhibit 28: Other prominent vendors Exhibit 29: Performance of a number of memory technologies
IBM, Oracle, QlikTech, SAP, Altibase, GridGain Systems, Microsoft, ScaleOut Software, Tibco Software.
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